ai technology includes: 1, machine learning; 2, knowledge graph; 3, natural language processing; 4, human-computer interaction; 5, computer vision; 6, biometrics recognition; 7, VR/AR and so on.
1, machine learning
Machine learning is a cross-discipline involving statistics, system identification, approximation theory, neural networks, optimization theory, computer science, brain science, and many other fields, the study of how computers can simulate or achieve human learning behavior, in order to acquire new knowledge or skills, re-organize the existing knowledge structure to make it continuously improve their performance, is the The core of artificial intelligence technology.
2. Knowledge Graph
Knowledge Graph is essentially a structured semantic knowledge base, a graph data structure composed of nodes and edges, which symbolically describes concepts and their interrelationships in the physical world, and whose basic unit of composition is the "entity-relationship-entity" triad, as well as the "entity-relationship-entity" triad, and the "entity-relationship-entity" triad. Its basic unit is the "entity-relationship-entity" ternary, as well as entities and their related "attribute-value" pairs. Different entities are linked to each other through relationships, constituting a net-like knowledge structure.
3, natural language processing
Natural language processing is an important direction in the field of computer science and artificial intelligence, the study of various theories and methods that can realize the effective communication between humans and computers in natural language, involving more fields, including machine translation, machine reading comprehension and question and answer systems.
4, human-computer interaction
Human-computer interaction mainly studies the information exchange between people and computers, which mainly includes two parts of information exchange from people to computers and computers to people, and it is an important peripheral technology in the field of artificial intelligence.
Human-computer interaction is a comprehensive discipline closely related to cognitive psychology, ergonomics, multimedia technology, virtual reality technology and so on. Traditional information exchange between human and computer mainly relies on interaction devices, mainly including keyboard, mouse, joystick, data clothing, eye tracker, position tracker, data gloves, pressure pen and other input devices, as well as printers, plotters, monitors, helmet-mounted displays, speakers and other output devices. Human-computer interaction technologies include voice interaction, emotional interaction, somatic interaction, and brain-computer interaction, in addition to the traditional basic interaction and graphical interaction.
5, computer vision
Computer vision is the science of using computers to mimic the human visual system, allowing computers to have the ability to extract, process, understand and analyze images and image sequences similar to humans. Automated driving, robotics, and smart healthcare all require computer vision technology to extract and process information from visual signals.
6, biometric identification
Biometric identification technology refers to the technology of identification and authentication of individual identity through individual physiological features or behavioral characteristics. From the application process, biometric identification is usually divided into two stages: enrollment and identification. The enrollment phase collects the biological representation information of the human body through sensors, such as using image sensors to collect optical information such as fingerprints and faces, and microphones to collect acoustic information such as speaking sounds, and then uses data preprocessing as well as feature extraction techniques to process the collected data and get the corresponding features for storage.
7, VR/AR
Virtual Reality (VR)/Augmented Reality (AR) is a new type of audio-visual technology centered on computers. Combined with related science and technology, within a certain range to generate and the real environment in the visual, auditory, tactile and other aspects of the highly similar digital environment. Users with the help of the necessary equipment and the digital environment of the object to interact with each other, mutual influence, to get close to the real environment of the feeling and experience, through the display equipment, tracking and positioning equipment, tactile sense of interaction equipment, data acquisition equipment, special chips, etc. to achieve.